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Principal Engineer

Shakudo · Menlo Park

Extracted from the posting

Base
Not stated
Equity
Meaningful equity, no figures stated
Remote
Onsite; travel to customer sites as needed
On-call
PagerDuty-based production support for customer deployments
Stack
Kubernetes, Python, Spark, Airflow

Customer-facing Principal Engineer on the Platform team who takes customer projects from discovery to production. Builds AI and data applications (RAG, agents, pipelines) on Shakudo and deploys them across cloud, on-prem, and air-gapped environments. Stack includes Kubernetes, AWS/Azure/GCP, Spark, Airflow, Databricks, and Snowflake.

At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business’s unique needs.

We are seeking a senior Principal Engineer to join our Platform team and work directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer conversations, system design, data engineering, AI application development, Kubernetes, cloud infrastructure, and production support.

In this role, you will own the path from discovery to production: understanding the customer’s workflows and data, designing the solution, building and deploying it on Shakudo, and helping the customer adopt it in real operations. This is an outcome-based engineering role. A successful engagement is not a demo, a prototype, or an installation. It is a live, governed, adopted workflow that improves how the customer operates and is tied to a clear business result.

Responsibilities

    Qualifications

      A Plus

        Why Shakudo Stands Out

          Technologies

          KubernetesPythonSparkAirflowDatabricksSnowflakeAWSAzureGCPGoTypeScriptJava
          Shakudo
          Shakudo

          Job details

          TypeFull-time
          Work ModeOn-site
          LevelLead
          Location🇺🇸Menlo Park, CA
          PostedNov 06, 2026
          Apply Now